133 citations · 272 across the 12 of their papers we have counts for
25 papers · 1 filter
From Early Adoption to Sustained Use: Understanding GenAI Usage Among Software Developers in Italian SMEs
Fabio Calefato, Alexandra Pajonk, Victoria Jackson +3
Generative AI tools are rapidly transforming software development practice, prompting unprecedented research interest. However, existing studies have predominantly examined initial…
Assessing the Use of AutoML for Data-Driven Software Engineering
Fabio Calefato, Luigi Quaranta, Filippo Lanubile +1
Background. Due to the widespread adoption of Artificial Intelligence (AI) and Machine Learning (ML) for building software applications, companies are struggling to recruit employe…
A Lot of Talk and a Badge: An Exploratory Analysis of Personal Achievements in GitHub
Fabio Calefato, Luigi Quaranta, Filippo Lanubile
Context. GitHub has introduced a new gamification element through personal achievements, whereby badges are unlocked and displayed on developers' personal profile pages in recognit…
Teaching MLOps in Higher Education through Project-Based Learning
Filippo Lanubile, Silverio Martínez-Fernández, Luigi Quaranta
Building and maintaining production-grade ML-enabled components is a complex endeavor that goes beyond the current approach of academic education, focused on the optimization of ML…
A Preliminary Investigation of MLOps Practices in GitHub
Fabio Calefato, Filippo Lanubile, Luigi Quaranta
Background. The rapid and growing popularity of machine learning (ML) applications has led to an increasing interest in MLOps, that is, the practice of continuous integration and d…
Pynblint: a Static Analyzer for Python Jupyter Notebooks
Luigi Quaranta, Fabio Calefato, Filippo Lanubile
Jupyter Notebook is the tool of choice of many data scientists in the early stages of ML workflows. The notebook format, however, has been criticized for inducing bad programming p…